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JRABA
Published by Universitas Airlangga
ISSN : 25481401     EISSN : 25484346     DOI : 10.20473
Core Subject : Economy,
Economics, Econometrics & Finance
The Jurnal Riset Akuntansi dan Bisnis Airlangga (JRABA) is a medium for exchanging information and scientific work in the field of Accounting and Business published by the Accounting Study Program, PSDKU Banyuwangi at Airlangga University. JRABA accepts original articles, article reviews, short communications, and technical reports. Published scientific works divided into two disicplines (1) Accounting and (2) Business Administration.This field is further divided into the following specific areas. 1. Business Administration : Finance, Marketing, HR Management, Strategic ` Management, Operation, Ethics, and Entrepreneurship 2. Accounting : Public Sector Accounting, Tax, Finance Accounting, Management Accounting, Audit, Informational System
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 115 Documents
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Strategi Peningkatan Pendapatan Daerah Melalui Retribusi Lingkungan Di Kota Mojokerto Handoyo, Puji Handayati; Budi Eko Soetjipto; Etty Soesilowati; Ratna Dwi Nastiti
Jurnal Riset Akuntansi Dan Bisnis Airlangga Vol 8 No 2 (2023): Jurnal Riset Akuntansi dan Bisnis Airlangga
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jraba.v8i2.48484

Abstract

This research aims to determine the potential for increasing revenue from waste retribution in Mojokerto City as a means of increasing PAD thus it can maximize the potential of the APBD for the benefit of regional social and economic development. This is qualitative research using a descriptive case study approach. The data used is primary and secondary data collected using interview or FGD, documentation, and questionnaire methods. Data analysis was carried out using Miles and Huberman, starting from data collection, data reduction, data presentation, and conclusion. Data shows that the total revenue from waste retributions is only able to cover 5% of the total waste management costs thus the remaining 95% of these costs are charged to the APBD. Strategies are needed so that the potential for retribution revenue can be increased. The potential calculation is carried out by increasing the rates of 2x and adding household retribution data. The results show that increasing retribution rates and adding household data can increase the percentage of costs that can be covered by up to 50%. So, it can be concluded that this strategy contributes to increasing PAD. The research results are expected to have a theoretical contribution to contribution theory related to research on strategies for increasing Regional Original Income (PAD). Apart from that, it is hoped that the results of this research will have a practical contribution to the Mojokerto City Government in developing strategies to increase waste levy revenues.
MACHINE LEARNING DALAM PENERAPANNYA UNTUK MENDETEKSI FRAUD DI E-COMMERCE Damayanti, Rahayu; Adrianto, Zaldy
Jurnal Riset Akuntansi Dan Bisnis Airlangga Vol 8 No 2 (2023): Jurnal Riset Akuntansi dan Bisnis Airlangga
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jraba.v8i2.48559

Abstract

The study examines the effectiveness, challenges, and best machine learning algorithms for detecting e-commerce fraud. This study uses a systematic literature review to evaluate the effectiveness of machine learning-based e-commerce fraud detection, identify challenges, and identify the most effective techniques. The study examinedliterature extracted from the ScienceDirect, Emeralds, Wiley, and Springer databases, identifying 29 publications from recognized journals from 2012–2022, filtered using limitations and quality assessment criteria, and assessing paper eligibility. This study reveals that machine learning significantly enhances the accuracy of detecting e-commerce fraud. Yet, there are a number of issues that need to be resolved before machine learning can be utilized to detect e-commerce fraud. Poorer-quality data distribution is the biggest challenge in detecting e-commerce fraud. In order to determine the best machine learning strategy, the model's accuracy was also evaluated, and it was discovered that random forests performed the best in terms of accuracy. This study increases theoretical contributions as a continuation of previous research relevant to the concept of machine learning in detecting fraud in e-commerce. Then, based on the random forest's greater precision, it provides practical advice to e-commerce firms as a basis for decision-makers to find a suitable machine learning technique for fraud detection.
FINANCIAL FRAUD DETECTION AND MACHINE LEARNING ALGORITHM (UNSUPERVISED LEARNING): SYSTEMATIC LITERATURE REVIEW Husnaningtyas, Nadia; Totok Dewayanto
Jurnal Riset Akuntansi Dan Bisnis Airlangga Vol 8 No 2 (2023): Jurnal Riset Akuntansi dan Bisnis Airlangga
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jraba.v8i2.49927

Abstract

This research aims to assess the usage of unsupervised learning in detecting financial fraud across various financial industries by identifying cognitive constructs, benefits, economic optimization, and challenges associated with fraud detection necessitating innovative approaches for effective detection. This study conducts Systematic Literature Review following PRISMA protocol for article selection of 27 journal articles published between 2010 and 2023, sourced from Scopus database. The analysis discloses that unsupervised learning has been implemented across diverse financial sectors, including online payments, insurance, and prominently in banking, especially for identifying anomalies in credit card transactions. K-Means is the most popular method used in unsupervised learning. Nevertheless, there are ongoing challenges that require solutions to ensure the efficacy of machine learning implementation, encompassing issues like class imbalance and the complexity of fraudulent activities. In theoretical terms, this research provides an understanding of cognitive concepts, benefits and applications, challenges, and practical recommendations in the use of unsupervised learning for financial fraud detection. This is useful for practical implementation, benefiting industry practitioners in selecting appropriate models with datasets that have the potential to enhance detection system accuracy and reduce financial losses due to fraud.
Efektivitas Komite Audit sebagai Mekanisme Pencegahan Kecurangan Kusumosari, Larassanti; Nur Rahardjo, Shiddiq
Jurnal Riset Akuntansi Dan Bisnis Airlangga Vol 8 No 2 (2023): Jurnal Riset Akuntansi dan Bisnis Airlangga
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jraba.v8i2.51157

Abstract

This study aims to examine the effect of audit committee effectiveness on financial statement fraud. This research type is explanatory research. The research population is property and real estate sector companies listed on the Indonesia Stock Exchange (IDX) during 2020–2022. The sampling method used is a purposive sampling with a total sample of 141 annual reports. The data collection method used content analysis on annual report. This study used logistic regression analysis assisted by EViews13 software. The results showed that the effectiveness of the audit committee, proxied by financial expertise, accounting expertise, and the number of audit committee meetings had negative and significant effect on financial statement fraud. This study contributes by strengthening agency theory, where the findings prove that the effectiveness of the audit committee can overcome agency conflicts and minimize financial statement fraud. Practically, this research contributes to regulators to develop policies regarding the work guidelines of the audit committee as a supervisory body for the financial reporting process and to investors to be able to improve investment decision strategies by analyzing the audit committee structure as a party that ensures the reliability of financial statements which are the basis for corporate decision making.
Inggris Inggris Sohdi, Lalu Rahmat
Jurnal Riset Akuntansi Dan Bisnis Airlangga Vol 9 No 1 (2024): Jurnal Riset Akuntansi dan Bisnis Airlangga (JRABA)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jraba.v9i1.56477

Abstract

This comprehensive study aims to determine how much growth rates, profitability, liquidity, and corporate valuation influence company stock prices listed on the LQ45 index for the 2019-2021 period. The data used in this study is secondary data. The research sample was meticulously selected using a purposive sampling technique so that 34 companies were obtained with 102 samples. The results showed that simultaneously all the variables used, namely: X1_Sustainability Growth Rate, X2_Return on Assets (ROA), X3: Quick Ratio (QR), X4_Price to Book Value (PBV), and X5: Price Earning Ratio (PER) have no effect which is significant to the dependent variable, namely stock prices. However, partially, it was found that the variable X3_Quick Ratio has a significant negative effect on stock prices. However, the other four variables do not significantly affect the dependent variable, namely stock prices. This may be due to this study's significant presence of confounding variables.
Model Of Digital Transformation in Banking Sector Vebtasvili, Vebtasvili
Jurnal Riset Akuntansi Dan Bisnis Airlangga Vol 9 No 1 (2024): Jurnal Riset Akuntansi dan Bisnis Airlangga (JRABA)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jraba.v9i1.56487

Abstract

Digital transformation has become the foundation for building policy, organizational, and HR transformations. The paper estimates a model of digital transformation in banking sector reflect on the phenomenon, the literature from multiple fields, and case studies. The data is used from the case of The Financial Services Authority (OJK) and Bank Indonesia. The finding shows that the internal factors, external factors, and risks could determine whether the implementation of the digital transformation model succeeds. There are still many improvements to integrate overall and work for the digital transformation.
Perception, Self Efficacy, Students' Career Interest In Taxation: Family Environment As A Moderating Suyanto, Suyanto; Desinta Azizah Pramesti; Fuadhillah Kirana Putri
Jurnal Riset Akuntansi Dan Bisnis Airlangga Vol 9 No 1 (2024): Jurnal Riset Akuntansi dan Bisnis Airlangga (JRABA)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jraba.v9i1.56695

Abstract

The increase in the number of taxpayers followed by a decrease in the number of tax officials in Indonesia is of concern to researchers to test the career interest of accounting students in choosing a career in taxation. Interest is a psychological factor that is formed and developed by influences from within a person (instrinsic) and influences from outside (extrinsic). Instrinsic factors include perception and self-efficacy. While extrinsic factors are in the form of a family environment. Initially, interest centers on the individual, then centers on other people and other objects in the environment. The purpose of this study was to examine the perception, self efficacy, accounting students' interest in a career in taxation: family environment as a moderating variable. This research is quantitative research. The data used is primary data and is obtained by distributing questionnaires online via google form. The population in this study were accounting study program students in 2020, 2021, and 2022 in Indonesia. Sampling using purposive sampling technique with a total of 181 samples. The data analysis method used is mu ltiple linear regression which is processed using IMB SPSS version 25. The results indicate that perception and self efficacy have a significant positive effect on accounting students' interest in a career in taxation. The family environment cannot strengthen the relationship between perception and accounting students' interest in a career in taxation. The family environment weakens self efficacy on accounting students' interest in a career in taxation .
ANALISIS FAKTOR YANG MEMPENGARUHI MINAT PENGGUNAAN FINTECH Rafinda, Ascaryan; Bahy Raihan Rauf; Eliada Hewiyanti
Jurnal Riset Akuntansi Dan Bisnis Airlangga Vol 9 No 1 (2024): Jurnal Riset Akuntansi dan Bisnis Airlangga (JRABA)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jraba.v9i1.57051

Abstract

This research aims to identify and analyze the interest in the adoption of fintech and e -commerce applications among Micro, Small, and Medium Enterprises (UMKM) actors in Kebumen Regency, which is influenced by risk factors, self-confidence, subjective norms, perceived ease of use, and perceived usefulness. The methods used include multiple regression analysis, t-test, F-test, and coefficient of determination. The results of this study indicate that (1) risk does not have a significant negative influence on the interest in adopting fintech and e -commerce, (2) self-confidence has a significant favorable influence on the interest in adopting fintech and e -commerce, (3) subjective norms do not have a significant favorable influence on the interest in adopting fintech and e -commerce, (4) perceived ease of use does not have a significant favorable influence on the interest in adopting fintech and e - commerce, (5) perceived usefulness has a significant favorable influence on the interest in adopting fintech and e - commerce.
TRANSFORMASI PENGELOLAAN LEMBAGA PENDIDIKAN MELALUI FORMULASI STRATEGI: STUDI KASUS YAYASAN SOSIAL DAN PENDIDIKAN BINA MUDA CICALENGKA Fathur Alhadian; Faoziah Ulfah Fatmawati
Jurnal Riset Akuntansi Dan Bisnis Airlangga Vol 9 No 1 (2024): Jurnal Riset Akuntansi dan Bisnis Airlangga (JRABA)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jraba.v9i1.57116

Abstract

Education significantly contributes to the quality of human resources in a country. However, Indonesia currently faces educational challenges, with uneven quality and quantity across institutions. Therefore, strategic planning is crucial to enhance education quality at all levels. This study aims to formulate strategies for improving the management of Yayasan Sosial dan Pendidikan Bina Muda Cicalengka. Employing a qualitative and quantitative approach, the research utilizes SWOT and QSPM methods. The findings yield eight consecutive alternative strategies: 1) Developing collaborations and partnerships to enhance internal quality and funding sources, 2) Improving the competence and qualifications of human resources according to national standards, 3) Establishing policies and technical standards for educational management through an integrated information system 4) Enhancing motivation, discipline, and work ethic among human resources, 5) Optimizing information technology for monitoring educational institution performance, 6) Improving educational facilities, 7) Efficiently allocating budget plans, and 8) Enhancing socialization and promotion to boost the institution's reputation in the community. This study's limitation lies in its sole focus on enhancing organizational capacity from an internal perspective. Therefore, future research could delve into external aspects or a combination of both and utilize the Five Forces Porter's analysis method as its analytical tool.
Financial Statement Fraud Analysis: Financial Stability, External Pressure and Auditing Quality Honesty, Helga Nuri; Fiola Finomia Honesty; Mia Angelina Setiawan
Jurnal Riset Akuntansi Dan Bisnis Airlangga Vol 9 No 1 (2024): Jurnal Riset Akuntansi dan Bisnis Airlangga (JRABA)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jraba.v9i1.57261

Abstract

Fraudulent on financial statements is increasing nowadays. The impact is not only felt by investors but also affects global economic stability. This research aims to collect empirical data to determine whether financial stability, external pressure, and audit quality partially and simultaneously influence financial statement fraud. The research objects are companies from the property and real estate sector listed on the Indonesia Stock Exchange, in 2020 - 2022. Multiple regression analysis was used to test the hypothesis on this research's panel data. The results of data processing indicate that external pressure has a positive effect on financial report fraud, while audit quality and financial stability do not influence financial report fraud.

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